AI is transforming the practice of medicine. It’s helping doctors diagnose patients more accurately, make predictions about patients’ future health, and recommend better treatments. This Specialization will give you practical experience in applying machine learning to concrete problems in medicine.
Dieser Kurs ist Teil der Spezialisierung Spezialisierung KI für Medizin
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Über diesen Kurs
You’re comfortable with Python programming, statistics, and probability. The Deep Learning Specialization is recommended but not required.
Was Sie lernen werden
Walk through examples of prognostic tasks
Apply tree-based models to estimate patient survival rates
Navigate practical challenges in medicine like missing data
Kompetenzen, die Sie erwerben
- Deep Learning
- Machine Learning
- time-to-event modeling
- Random Forest
- model tuning
You’re comfortable with Python programming, statistics, and probability. The Deep Learning Specialization is recommended but not required.
Lehrplan - Was Sie in diesem Kurs lernen werden
Linear Prognostic Models
Prognosis with Tree-based Models
Survival Models and Time
Build a Risk Model Using Linear and Tree-based Models
Bewertungen
- 5 stars78,59 %
- 4 stars16,02 %
- 3 stars3,17 %
- 2 stars1,51 %
- 1 star0,69 %
Top-Bewertungen von AI FOR MEDICAL PROGNOSIS
This course is one of the best courses to learn about Medical Prognosis. Really, the survival models were described in great detail. Thank you, Pranav for this wonderful course.
the coding assignments were not that hard sadly, but the knowledge about techniques and methods and formulas to interpret the prognosis is very helpful
Def an eye opening course with all the various NLP libraries and also the survival modeling. The content was clear and easy to understand if you have the required background.
This was a FANTASTIC course. I am very impressed with the quality of the lectures and the instructor. Thank you for teaching me how to deal with data and censorship :)
Über den Spezialisierung KI für Medizin

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